Is performance comparable to traditional C++ or Fortran CFD codes?

FluidSim uses Pythran and Transonic compilation to achieve performance levels comparable to Fortran and C++ while maintaining a user-friendly Python interface.

What physical equations can FluidSim solve?

FluidSim includes solvers for 2D and 3D Navier-Stokes equations, shallow water equations (sw1l), and stratified flows (ns2d.strat, ns3d.strat) common in geophysical fluid dynamics.

How does FluidSim handle data visualization and analysis?

It provides built-in tools for plotting physical fields, energy spectra, and volume-averaged quantities, and saves data in HDF5 format for external tools like ParaView.

Does this skill support parallel computing for large simulations?

Yes, FluidSim supports MPI parallelization, allowing you to run high-resolution simulations across multiple CPU cores on local machines or HPC clusters.

FluidSim CFD Framework

Name: FluidSim CFD Framework
Author: x-cmd

byx-cmd

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数据科学与机器学习

Simulates complex fluid dynamics using high-performance Python-based pseudospectral methods for scientific research.

关于

FluidSim is an object-oriented Python framework designed for high-performance computational fluid dynamics (CFD) simulations, enabling users to solve Navier-Stokes, shallow water, and stratified flow equations. It bridges the gap between Python's ease of use and the performance of compiled languages like Fortran or C++, providing a comprehensive workflow that covers parameter configuration, execution via MPI parallelization, and interactive post-processing. This skill is ideal for researchers and engineers analyzing turbulence, vortex dynamics, or geophysical flows who need a scalable, scriptable simulation environment.

主要功能

8 GitHub stars
High-performance pseudospectral methods with FFT and MPI parallelization support
Interactive post-processing for physical fields, energy spectra, and spatial means
Hierarchical parameter management with built-in validation to prevent configuration errors
Solvers for 2D/3D Navier-Stokes, shallow water, and stratified equations
Support for custom forcing, initial conditions, and large-scale parametric studies

使用场景

Modeling geophysical and oceanic flows using stratified or shallow water equations
Analyzing energy cascades and decay in 2D or 3D turbulence simulations
Running high-resolution fluid simulations on HPC clusters with automated data export

关于

主要功能

8 GitHub stars
High-performance pseudospectral methods with FFT and MPI parallelization support
Interactive post-processing for physical fields, energy spectra, and spatial means
Hierarchical parameter management with built-in validation to prevent configuration errors
Solvers for 2D/3D Navier-Stokes, shallow water, and stratified equations
Support for custom forcing, initial conditions, and large-scale parametric studies

使用场景

Modeling geophysical and oceanic flows using stratified or shallow water equations
Analyzing energy cascades and decay in 2D or 3D turbulence simulations
Running high-resolution fluid simulations on HPC clusters with automated data export